ArticleNucleic acids research2021
GESS: a database of global evaluation of SARS-CoV-2/hCoV-19 sequences.
Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 78 citations in OpenAlex.
- Enrichment of G-to-U Substitution in SARS-CoV-2 Functional Regions and Its Compensation via Concurrent Mutations.Journal of medical virology · 2025Article
- CovEpiAb: a comprehensive database and analysis resource for immune epitopes and antibodies of human coronaviruses.Briefings in bioinformatics · 2024Article
- COV2Var, a function annotation database of SARS-CoV-2 genetic variation.Nucleic acids research · 2024Article
- Mutagenesis and structural studies reveal the basis for the specific binding of SARS-CoV-2 SL3 RNA element with human TIA1 protein.Nature communications · 2023Article
- SARS2Mutant: SARS-CoV-2 amino-acid mutation atlas database.NAR genomics and bioinformatics · 2023Article
- Long-term memory CD8Nature communications · 2022Article
- A comprehensive SARS-CoV-2 and COVID-19 review, Part 1: Intracellular overdrive for SARS-CoV-2 infection.European journal of human genetics : EJHG · 2022Review
- Investigating the Human Host-ssRNA Virus Interaction Landscape Using the SMEAGOL Toolbox.Viruses · 2022Article
- A Novel Human Neutralizing mAb Recognizes Delta, Gamma and Omicron Variants of SARS-CoV-2 and Can Be Used in Combination with Sotrovimab.International journal of molecular sciences · 2022Article
- Similarity Index-Probabilistic Confidence Estimation of SARS-CoV-2 Strain Relatedness in Localized Outbreaks.Epidemiologia (Basel, Switzerland) · 2022Article
- Article
- Article
- Article
- Early-stage spatial disease surveillance of novel SARS-CoV-2 variants of concern in Germany with crowdsourced data.Scientific reports · 2022Article
- COVID19db: a comprehensive database platform to discover potential drugs and targets of COVID-19 at whole transcriptomic scale.Nucleic acids research · 2022Article
- Article
- Advanced Functions Embedded in the Second Version of Database, Global Evaluation of SARS-CoV-2/hCoV-19 Sequences 2.Frontiers in medicine · 2022Article
- Prediction of the effects of the top 10 nonsynonymous variants from 30229 SARS-CoV-2 strains on their proteins.F1000Research · 2022Article
- Bioinformatics for the Origin and Evolution of Viruses.Advances in experimental medicine and biology · 2022Article
- Updated SARS-CoV-2 single nucleotide variants and mortality association.Journal of medical virology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
Abstract
The COVID-19 outbreak has become a global emergency since December 2019. Analysis of SARS-CoV-2 sequences can uncover single nucleotide variants (SNVs) and corresponding evolution patterns. The Global Evaluation of SARS-CoV-2/hCoV-19 Sequences (GESS, https://wan-bioinfo.shinyapps.io/GESS/) is a resource to provide comprehensive analysis results based on tens of thousands of high-coverage and high-quality SARS-CoV-2 complete genomes. The database allows user to browse, search and download SNVs at any individual or multiple SARS-CoV-2 genomic positions, or within a chosen genomic region or protein, or in certain country/area of interest. GESS reveals geographical distributions of SNVs around the world and across the states of USA, while exhibiting time-dependent patterns for SNV occurrences which reflect development of SARS-CoV-2 genomes. For each month, the top 100 SNVs that were firstly identified world-widely can be retrieved. GESS also explores SNVs occurring simultaneously with specific SNVs of user's interests. Furthermore, the database can be of great help to calibrate mutation rates and identify conserved genome regions. Taken together, GESS is a powerful resource and tool to monitor SARS-CoV-2 migration and evolution according to featured genomic variations. It provides potential directive information for prevalence prediction, related public health policy making, and vaccine designs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.